{"id":429,"date":"2018-11-05T21:52:53","date_gmt":"2018-11-05T21:52:53","guid":{"rendered":"https:\/\/course.oeru.org\/irmp102\/?page_id=429"},"modified":"2018-11-05T21:52:53","modified_gmt":"2018-11-05T21:52:53","slug":"outcomes","status":"publish","type":"page","link":"https:\/\/course.oeru.org\/irmp102\/learning-pathways\/experimental-research-methods\/outcomes\/","title":{"rendered":"Outcomes"},"content":{"rendered":"<div id=\"content\" class=\"mw-body container\" role=\"main\">\n<div class=\"row\">\n<div class=\"col-md-12\">\n<div class=\"panel\">\n<div class=\"panel-body\">\n<div id=\"bodyContent\">\n<div id=\"mw-content-text\" lang=\"en\" dir=\"ltr\" class=\"mw-content-ltr\">\n<p>\n<\/p>\n<div class=\"panel iDevice\">\n\t<div class=\"panel-heading idevice-heading\">\n\t\t<div>\n\t\t\t<img decoding=\"async\" class=\"pedagogicalicon\" alt=\"outcomes\" src=\"https:\/\/course.oeru.org\/irmp102\/wp-content\/themes\/oeru_course\/idevices\/Icon_objectives.png\">\n\t\t<\/div>\n\t\t<div>\n\t\t\t<h2>Outcomes<\/h2>\n\t\t<\/div>\n\t<\/div>\n\t<div class=\"panel-body\">\n\t\t<div class=\"col-md-12\">\n\t\t\t<\/p>\n<p>After you have successfully completed this unit, you will be able to:\n<\/p>\n<p>\u2022 Explain what an experiment is and recognize examples of studies that are experiments and studies that are not experiments\n<\/p>\n<p>\u2022 Explain what internal validity is and why experiments are considered to be high in internal validity\n<\/p>\n<p>\u2022 Explain what external validity is and evaluate studies in terms of their external validity\n<\/p>\n<p>\u2022 Distinguish between the manipulation of the independent variable and control of extraneous variables and explain the importance of each\n<\/p>\n<p>\u2022 Recognize examples of confounding variables and explain how they affect the internal validity of a study\n<\/p>\n<p>\u2022 Explain the difference between between-subjects and within-subjects experiments, list some of the pros and cons of each approach, and decide which approach to use to answer a particular research question\n<\/p>\n<p>\u2022 Define random assignment, distinguish it from random sampling, explain its purpose in experimental research, and use some simple strategies to implement it\n<\/p>\n<p>\u2022 Define what a control condition is, explain its purpose in research on treatment effectiveness, and describe some alternative types of control conditions\n<\/p>\n<p>\u2022 Define several types of carryover effect, give examples of each, and explain how counterbalancing helps to deal with them\n<\/p>\n<p>\u2022 Describe several strategies for recruiting participants for an experiment\n<\/p>\n<p>\u2022 Explain why it is important to standardize the procedure of an experiment and several ways to do this\n<\/p>\n<p>\u2022 Explain what pilot testing is and why it is important\n<\/p>\n<p>\u2022 Explain why researchers often include multiple dependent variables in their studies\n<\/p>\n<p>\u2022 Explain what a manipulation check is and when it would be included in an experiment\n<\/p>\n<p>\u2022 Explain why researchers often include multiple independent variables in their studies\n<\/p>\n<p>\u2022 Define factorial design, and use a factorial design table to represent and interpret simple factorial designs\n<\/p>\n<p>\u2022 Distinguish between main effects and interactions\n<\/p>\n<p>\u2022 Sketch and interpret bar graphs and line graphs showing the results of studies with simple factorial designs\n<\/p>\n<p>\u2022 Describe the basic elements of a single-subject research design\n<\/p>\n<p>\u2022 Design simple single-subject studies using reversal and multiple-baseline designs\n<\/p>\n<p>\u2022 Explain how single-subject research designs address the issue of internal validity\n<\/p>\n<p>\u2022 Identify several situations in which single-subject research would be appropriate\n<\/p>\n<p>\n<\/p>\n<p>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n<p><!-- \nNewPP limit report\nCPU time usage: 0.019 seconds\nReal time usage: 0.021 seconds\nPreprocessor visited node count: 102\/1000000\nPreprocessor generated node count: 762\/1000000\nPost\u2010expand include size: 6385\/2097152 bytes\nTemplate argument size: 4924\/2097152 bytes\nHighest expansion depth: 7\/40\nExpensive parser function count: 0\/100\n--><\/p>\n<p><!-- Saved in parser cache with key wikiedu-mw_:pcache:idhash:184442-0!*!*!*!*!2!* and timestamp 20181105210000 and revision id 1056428\n -->\n<\/div>\n<div class=\"visualClear\"><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"row\">\n<div class=\"col-md-12\">\n<ul class=\"pager\">\n<li class=\"previous\">\n            <a href=\"\/irmp102\/learning-pathways\/experimental-research-methods\/overview\">\u2190 Previous<\/a>\n          <\/li>\n<li class=\"next\">\n            <a href=\"\/irmp102\/learning-pathways\/experimental-research-methods\/resources\">Next \u2192<\/a>\n          <\/li>\n<\/ul><\/div>\n<\/p><\/div>\n<\/div>\n<footer>\n<br \/>\n<\/footer>\n","protected":false},"excerpt":{"rendered":"<p>\u2190 Previous Next 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